A proof-of-concept study reports that a non-invasive EEG-based approach can separate hypoglycemic from non-hypoglycemic states in people with type 1 diabetes, with a quadratic discriminant analysis classifier reaching 96.2% accuracy on a limited dataset. Hypoglycemia was accompanied by characteristic changes in the delta and beta bands, which the authors say points to a non-invasive, real-time route to early warning.
